plotting.draw_hist(h, nSig)
plotting.draw_labels(args.lumi)
plotting.draw_text(args.text_file)
plotting.draw_line(args.g_min, args.l_min, args.g_max, args.l_max,
args.top_mass)
savefilename = os.path.join(args.out_directory,
'_'.join([args.output, label]))
if args.do_run1:
gr = plotting.get_run1(args.run1_excl, 1, 3, args.run1_color)
gr.Draw("C")
gr_1sigma = plotting.get_run1(args.run1_1sigma, 3, 1,
args.run1_color)
gr_1sigma.Draw("C")
plotting.draw_run1_text(args.run1_color)
savefilename += "_wrun1"
if args.do_run2:
gr = plotting.get_run2(args.run2_excl, 1, 3, args.run2_color)
gr.Draw("C")
gr_1sigma = plotting.get_run2(args.run2_1sigma, 3, 1,
args.run2_color)
gr_1sigma.Draw("C")
plotting.draw_run2_text(args.run2_color)
savefilename += "_wrun2"
#p = exclusion()
#p.Draw()
c.SaveAs(savefilename + ".pdf")
print("Saving file " + savefilename)
c.Clear()
exit(0)
save_canvas(c, '{0}_optimalSR_grid_lumi{1}'.format(os.path.join(args.output_dir, args.output), args.lumi))
# now make a plot of the actual significances
c = init_canvas()
h = plotting.init_hist("Significance of optimal SR", 200, 2500, 0, 2300, 100, 200)
for did, vals in significances.iteritems():
winningSR = vals['winner']
mgluino, mstop, mlsp = mdict[did]
if mstop != 5000: continue
set_bin(h, mgluino, mlsp, vals[winningSR])
draw_hist(h, "1.1f")
draw_text(args)
draw_line()
if args.do_run1:
gr = plotting.get_run1(args.run1_excl,1,3,args.run1_color)
gr.Draw("C")
gr_1sigma = plotting.get_run1(args.run1_1sigma,3,1,args.run1_color)
gr_1sigma.Draw("C")
plotting.draw_run1_text(args.run1_color)
if args.do_run2:
gr = plotting.get_run2(args.run2_excl,1,3,args.run2_color)
gr.Draw("C")
gr_1sigma = plotting.get_run2(args.run2_1sigma,3,1,args.run2_color)
gr_1sigma.Draw("C")
plotting.draw_run2_text(args.run2_color)
save_canvas(c, '{0}_optimalSR_sig_lumi{1}'.format(os.path.join(args.output_dir, args.output), args.lumi))